ILRST 2100

ILRST 2100

Course information provided by the Courses of Study 2024-2025.

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events.

When Offered Fall, Winter, Spring, Summer.

Prerequisites/Corequisites Prerequisite: introductory algebra.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, CRP 1200, ENGRD 2700, HADM 2010, ILRST 2100, MATH 1710, PUBPOL 2100, PUBPOL 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150.

Distribution Category (MQL-AG, OPHLS-AG)

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  •  8315 ILRST 2100   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person
    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.

  •  8323 ILRST 2100   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  8324 ILRST 2100   DIS 202

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8325 ILRST 2100   DIS 203

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8326 ILRST 2100   DIS 204

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8327 ILRST 2100   DIS 205

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8328 ILRST 2100   DIS 206

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    • Entner, J

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  •  8329 ILRST 2100   DIS 207

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    • Entner, J

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  •  8330 ILRST 2100   DIS 208

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    • Entner, J

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  •  8331 ILRST 2100   DIS 209

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    • Entner, J

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  •  8332 ILRST 2100   DIS 210

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8494 ILRST 2100   DIS 212

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    • Entner, J

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  •  8495 ILRST 2100   DIS 213

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    • Entner, J

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  •  8496 ILRST 2100   DIS 214

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    • Entner, J

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  •  8547 ILRST 2100   DIS 215

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    • Entner, J

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  •  8538 ILRST 2100   DIS 216

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    • Entner, J

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  •  8539 ILRST 2100   DIS 217

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    • Entner, J

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  •  8548 ILRST 2100   DIS 218

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8540 ILRST 2100   DIS 219

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    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  8480 ILRST 2100   DIS 220

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    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  8481 ILRST 2100   DIS 221

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    • Entner, J

  • Instruction Mode: In Person

  •  8482 ILRST 2100   DIS 222

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    • Jan 21 - May 6, 2025
    • Entner, J

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  •  8483 ILRST 2100   DIS 223

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    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  8484 ILRST 2100   DIS 224

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    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  8485 ILRST 2100   DIS 225

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person